astro-ph.CO - 宇宙学和天体物理学
cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.IT - 信息论 cs.LG - 自动学习 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.AP - 偏微分方程分析 math.CO - 组合数学 math.DS - 动力系统 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.optics - 光学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.CO]Inpainting via Generative Adversarial Networks for CMB data analysis
• [cs.AI]Bayesian Interpolants as Explanations for Neural Inferences
• [cs.AI]ConsciousControlFlow(CCF): A Demonstration for conscious Artificial Intelligence
• [cs.AI]Re-conceptualising the Language Game Paradigm in the Framework of Multi-Agent Reinforcement Learning
• [cs.AI]Reinforced Anytime Bottom Up Rule Learning for Knowledge Graph Completion
• [cs.AI]Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning
• [cs.AI]Towards Exploiting Implicit Human Feedback for Improving RDF2vec Embeddings
• [cs.CL]A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming
• [cs.CL]Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
• [cs.CL]BLEURT: Learning Robust Metrics for Text Generation
• [cs.CL]Calibrating Structured Output Predictors for Natural Language Processing
• [cs.CL]Conversation Learner — A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems
• [cs.CL]Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking
• [cs.CL]Error-correction and extraction in request dialogs
• [cs.CL]Generating Counter Narratives against Online Hate Speech: Data and Strategies
• [cs.CL]Global Public Health Surveillance using Media Reports: Redesigning GPHIN
• [cs.CL]Improving Readability for Automatic Speech Recognition Transcription
• [cs.CL]Injecting Numerical Reasoning Skills into Language Models
• [cs.CL]Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve
• [cs.CL]Measuring Emotions in the COVID-19 Real World Worry Dataset
• [cs.CL]MuTual: A Dataset for Multi-Turn Dialogue Reasoning
• [cs.CL]On optimal transformer depth for low-resource language translation
• [cs.CL]PANDORA Talks: Personality and Demographics on Reddit
• [cs.CL]Pruning and Sparsemax Methods for Hierarchical Attention Networks
• [cs.CL]Recommendation Chart of Domains for Cross-Domain Sentiment Analysis:Findings of A 20 Domain Study
• [cs.CL]Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem
• [cs.CL]Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios
• [cs.CL]Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events
• [cs.CL]The Spotify Podcasts Dataset
• [cs.CL]Translation Artifacts in Cross-lingual Transfer Learning
• [cs.CR]Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters
• [cs.CR]Rethinking the Trigger of Backdoor Attack
• [cs.CV]3D Photography using Context-aware Layered Depth Inpainting
• [cs.CV]A Proposed IoT Smart Trap using Computer Vision for Sustainable Pest Control in Coffee Culture
• [cs.CV]AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching
• [cs.CV]CenterMask: single shot instance segmentation with point representation
• [cs.CV]DMLO: Deep Matching LiDAR Odometry
• [cs.CV]Decoupled Gradient Harmonized Detector for Partial Annotation: Application to Signet Ring Cell Detection
• [cs.CV]DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution
• [cs.CV]Estimating Grape Yield on the Vine from Multiple Images
• [cs.CV]Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
• [cs.CV]Identification of splicing edges in tampered image based on Dichromatic Reflection Model
• [cs.CV]Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
• [cs.CV]Learning to Scale Multilingual Representations for Vision-Language Tasks
• [cs.CV]Leveraging 2D Data to Learn Textured 3D Mesh Generation
• [cs.CV]LightConvPoint: convolution for points
• [cs.CV]Masked GANs for Unsupervised Depth and Pose Prediction with Scale Consistency
• [cs.CV]MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion
• [cs.CV]Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification
• [cs.CV]Neural Object Descriptors for Multi-View Shape Reconstruction
• [cs.CV]Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation
• [cs.CV]Quasi-Newton Solver for Robust Non-Rigid Registration
• [cs.CV]Reciprocal Learning Networks for Human Trajectory Prediction
• [cs.CV]Scalable Active Learning for Object Detection
• [cs.CV]Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
• [cs.CV]Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
• [cs.CV]Sequential Neural Rendering with Transformer
• [cs.CV]Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation
• [cs.CV]The GeoLifeCLEF 2020 Dataset
• [cs.CV]Towards Inheritable Models for Open-Set Domain Adaptation
• [cs.CV]TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images
• [cs.CV]Universal Source-Free Domain Adaptation
• [cs.CV]Where Does It End? — Reasoning About Hidden Surfaces by Object Intersection Constraints
• [cs.CV]X3D: Expanding Architectures for Efficient Video Recognition
• [cs.CY]Governance of the Internet of Things (IoT)
• [cs.DB]DataFed: Towards Reproducible Research via Federated Data Management
• [cs.DC]Analysis of LFT2
• [cs.DC]Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective
• [cs.DC]Composing and Decomposing Op-Based CRDTs with Semidirect Products
• [cs.DC]DegreeSketch: Distributed Cardinality Sketches on Massive Graphs with Applications
• [cs.DC]Efficient Reasoning About Stencil Programs Using Selective Direct Evaluation
• [cs.DC]Hedge Your Bets: Optimizing Long-term Cloud Costs by Mixing VM Purchasing Options
• [cs.DC]OV: Validity-based Optimistic Smart Contracts
• [cs.DC]Parallel/distributed implementation of cellular training for generative adversarial neural networks
• [cs.DC]While Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing
• [cs.DS]An Improved Cutting Plane Method for Convex Optimization, Convex-Concave Games and its Applications
• [cs.DS]Exploration with Limited Memory: Streaming Algorithms for Coin Tossing, Noisy Comparisons, and Multi-Armed Bandits
• [cs.GR]ARCH: Animatable Reconstruction of Clothed Humans
• [cs.IT]Analysis of Vehicular Safety Messaging in Cellular Networks
• [cs.IT]Improving Generalized Spatial Modulation using Translation Patterns
• [cs.IT]Mismatched Models to Lower Bound the Capacity of Optical Fiber Channels
• [cs.IT]ON-OFF Privacy in the Presence of Correlation
• [cs.IT]Robust Precoder Design for 3D Massive MIMO Downlink with A Posteriori Channel Model
• [cs.IT]Shared Angles-of-Departure in Massive MIMO Channels: Correlation Analysis and Performance Impact
• [cs.IT]Sparse recovery of noisy data and Grothendieck inequality
• [cs.IT]The Secrecy Capacity of Cost-Constrained Wiretap Channels
• [cs.IT]Topological Coded Distributed Computing
• [cs.LG]A Polynomial Neural Network with Controllable Precision and Human-Readable Topology for Prediction and System Identification
• [cs.LG]Adaptive Stress Testing without Domain Heuristics using Go-Explore
• [cs.LG]Adversarial Latent Autoencoders
• [cs.LG]Anomaly Detection with SDAE
• [cs.LG]Automated Content Grading Using Machine Learning
• [cs.LG]Data Dieting in GAN Training
• [cs.LG]Deep Learning and Open Set Malware Classification: A Survey
• [cs.LG]Deep Reinforcement Learning (DRL): Another Perspective for Unsupervised Wireless Localization
• [cs.LG]Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Apporach
• [cs.LG]Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training
• [cs.LG]Evolving Normalization-Activation Layers
• [cs.LG]Federated Multi-view Matrix Factorization for Personalized Recommendations
• [cs.LG]Feedback Recurrent Autoencoder for Video Compression
• [cs.LG]GeneCAI: Genetic Evolution for Acquiring Compact AI
• [cs.LG]Graph Highway Networks
• [cs.LG]Heuristics for Link Prediction in Multiplex Networks
• [cs.LG]HopGAT: Hop-aware Supervision Graph Attention Networks for Sparsely Labeled Graphs
• [cs.LG]Interactions in information spread: quantification and interpretation using stochastic block models
• [cs.LG]Learnable Subspace Clustering
• [cs.LG]Learning Bayesian Networks that enable full propagation of evidence
• [cs.LG]On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems
• [cs.LG]On Anomaly Interpretation via Shapley Values
• [cs.LG]Orthogonal Over-Parameterized Training
• [cs.LG]Prune2Edge: A Multi-Phase Pruning Pipelines to Deep Ensemble Learning in IIoT
• [cs.LG]Query-Focused EHR Summarization to Aid Imaging Diagnosis
• [cs.LG]Recognizing Spatial Configurations of Objects with Graph Neural Networks
• [cs.LG]Saliency-based Weighted Multi-label Linear Discriminant Analysis
• [cs.LG]Score-Guided Generative Adversarial Networks
• [cs.LG]Spectral Discovery of Jointly Smooth Features for Multimodal Data
• [cs.LG]Structure-preserving neural networks
• [cs.LG]TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems
• [cs.LG]k-Nearest Neighbour Classifiers — 2nd Edition
• [cs.MS]Automatic Differentiation in ROOT
• [cs.NE]Analysis of the Performance of Algorithm Configurators for Search Heuristics with Global Mutation Operators
• [cs.NE]Populations of Spiking Neurons for Reservoir Computing: Closed Loop Control of a Compliant Quadruped
• [cs.NI]Knowledge Distillation for Mobile Edge Computation Offloading
• [cs.NI]Real-time QoS Routing Scheme in SDN-based Robotic Cyber-Physical Systems
• [cs.PL]Parameterized Reasoning for Distributed Systems with Consensus
• [cs.RO]Care Robots with Sexual Assistance Functions
• [cs.RO]Co-Robots as Care Robots
• [cs.RO]Control and Trajectory Optimization for Soft Aerial Manipulation
• [cs.RO]Determination of spatial configuration of an underwater swarm with minimum data
• [cs.RO]Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images
• [cs.RO]State-Only Imitation Learning for Dexterous Manipulation
• [cs.RO]The Adaptive Stress Testing Formulation
• [cs.SD]GGA-MG: Generative Genetic Algorithm for Music Generation
• [cs.SI]CovidSens: A Vision on Reliable Social Sensing based Risk Alerting Systems for COVID-19 Spread
• [cs.SI]Inference in the Stochastic Block Model with a Markovian assignment of the communities
• [cs.SI]Information Seeking Responses to News of Local COVID-19 Cases: Evidence from Internet Search Data
• [cs.SI]Large Arabic Twitter Dataset on COVID-19
• [cs.SI]Violent music vs violence and music: Drill rap and violent crime in London
• [eess.AS]Fast frequency discrimination and phoneme recognition using a biomimetic membrane coupled to a neural network
• [eess.IV]A single image deep learning approach to restoration of corrupted remote sensing products
• [eess.IV]Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model
• [eess.IV]Cortical surface registration using unsupervised learning
• [eess.IV]DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images
• [eess.IV]Physics-enhanced machine learning for virtual fluorescence microscopy
• [eess.IV]Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation
• [eess.IV]Variable Rate Video Compression using a Hybrid Recurrent Convolutional Learning Framework
• [eess.SP]A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications
• [eess.SY]Control of Unknown Nonlinear Systems with Linear Time-Varying MPC
• [eess.SY]Formal Test Synthesis for Safety-Critical Autonomous Systems based on Control Barrier Functions
• [math.AP]nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications
• [math.CO]On recursively defined combinatorial classes and labelled trees
• [math.DS]Circum- and Inconic Invariants of 3-Periodics in the Elliptic Billiard
• [math.NA]On the asymptotical regularization for linear inverse problems in presence of white noise
• [math.NA]Well conditioned ptychograpic imaging via lost subspace completion
• [math.OC]A Private and Finite-Time Algorithm for Solving a Distributed System of Linear Equations
• [math.OC]A fast and effective MIP-based heuristic for a selective and periodic inventory routing problem in reverse logistics
• [math.OC]Continuous and Discrete-Time Analysis of Stochastic Gradient Descent for Convex and Non-Convex Functions
• [math.OC]Mirror Descent Algorithms for Minimizing Interacting Free Energy
• [math.ST]Asymptotic normality of robust risk minimizers
• [math.ST]Incidence weighting estimation under bipartite incidence graph sampling
• [math.ST]Nonparametric Bayesian inference of discretely observed diffusions
• [math.ST]Objective Bayesian analysis for spatial Student-t regression models
• [math.ST]On Weighted Generalized Entropy for Double Truncated Distribution
• [physics.optics]Adaptive optics with reflected light and deep neural networks
• [physics.soc-ph]Extremist ideology as a complex contagion: the spread of far-right radicalization in the United States between 2005-2017
• [physics.soc-ph]Mapping county-level mobility pattern changes in the United States in response to COVID-19
• [physics.soc-ph]Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network
• [q-bio.NC]MetaSleepLearner: Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning
• [q-bio.PE]Scenario analysis of non-pharmaceutical interventions on global COVID-19 transmissions
• [quant-ph]Predicting human-generated bitstreams using classical and quantum models
• [stat.AP]Confidence interval for the AUC of SROC curve and some related methods using bootstrap for meta-analysis of diagnostic accuracy studies
• [stat.AP]Estimating Fiber Orientation Distribution through Blockwise Adaptive Thresholding with Application to HCP Young Adults Data
• [stat.AP]Estimating Scale Discrepancy in Bayesian Model Calibration for ChemCam on the Mars Curiosity Rover
• [stat.AP]Robust inference for nonlinear regression models from the Tsallis score: application to Covid-19 contagion in Italy
• [stat.CO]Posterior computation with the Gibbs zig-zag sampler
• [stat.CO]Stochastic spectral embedding
• [stat.ME]A Mathematical Assessment of the Isolation Tree Method for Data Anomaly Detection
• [stat.ME]Adaptive MCMC for synthetic likelihoods and correlated synthetic likelihoods
• [stat.ME]DAG With Omitted Objects Displayed (DAGWOOD): A framework for revealing causal assumptions in DAGs
• [stat.ME]Estimating Knots and Their Association in Parallel Bilinear Spline Growth Curve Models in the Framework of Individual Measurement Occasions
• [stat.ME]Pivotal tests for relevant differences in the second order dynamics of functional time series
• [stat.ML]Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks
• [stat.ML]Multiclass Classification via Class-Weighted Nearest Neighbors
• [stat.ML]On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration
• [stat.ML]TensorProjection Layer: A Tensor-Based Dimensionality Reduction Method in CNN
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• [astro-ph.CO]Inpainting via Generative Adversarial Networks for CMB data analysis
Alireza Vafaei Sadr, Farida Farsian
http://arxiv.org/abs/2004.04177v1
• [cs.AI]Bayesian Interpolants as Explanations for Neural Inferences
Kenneth L. McMillan
http://arxiv.org/abs/2004.04198v1
• [cs.AI]ConsciousControlFlow(CCF): A Demonstration for conscious Artificial Intelligence
Hongzhi Wang, Bozhou Chen, Yueyang Xu, Kaixin Zhang, Shengwen Zheng, Shirong Liu
http://arxiv.org/abs/2004.04376v1
• [cs.AI]Re-conceptualising the Language Game Paradigm in the Framework of Multi-Agent Reinforcement Learning
Paul Van Eecke, Katrien Beuls
http://arxiv.org/abs/2004.04722v1
• [cs.AI]Reinforced Anytime Bottom Up Rule Learning for Knowledge Graph Completion
Christian Meilicke, Melisachew Wudage Chekol, Manuel Fink, Heiner Stuckenschmidt
http://arxiv.org/abs/2004.04412v1
• [cs.AI]Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning
Danial Kamran, Carlos Fernandez Lopez, Martin Lauer, Christoph Stiller
http://arxiv.org/abs/2004.04450v1
• [cs.AI]Towards Exploiting Implicit Human Feedback for Improving RDF2vec Embeddings
Ahmad Al Taweel, Heiko Paulheim
http://arxiv.org/abs/2004.04423v1
• [cs.CL]A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming
Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno, Thiago G. da Silva, Andréa Carneiro Linhares
http://arxiv.org/abs/2004.04468v1
• [cs.CL]Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
Alex Wang, Kyunghyun Cho, Mike Lewis
http://arxiv.org/abs/2004.04228v1
• [cs.CL]BLEURT: Learning Robust Metrics for Text Generation
Thibault Sellam, Dipanjan Das, Ankur P. Parikh
http://arxiv.org/abs/2004.04696v1
• [cs.CL]Calibrating Structured Output Predictors for Natural Language Processing
Abhyuday Jagannatha, Hong Yu
http://arxiv.org/abs/2004.04361v1
• [cs.CL]Conversation Learner — A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems
Swadheen Shukla, Lars Liden, Shahin Shayandeh, Eslam Kamal, Jinchao Li, Matt Mazzola, Thomas Park, Baolin Peng, Jianfeng Gao
http://arxiv.org/abs/2004.04305v1
• [cs.CL]Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking
Su Zhu, Jieyu Li, Lu Chen, Kai Yu
http://arxiv.org/abs/2004.03386v2
• [cs.CL]Error-correction and extraction in request dialogs
Stefan Constantin, Alex Waibel
http://arxiv.org/abs/2004.04243v1
• [cs.CL]Generating Counter Narratives against Online Hate Speech: Data and Strategies
Serra Sinem Tekiroglu, Yi-Ling Chung, Marco Guerini
http://arxiv.org/abs/2004.04216v1
• [cs.CL]Global Public Health Surveillance using Media Reports: Redesigning GPHIN
Dave Carter, Marta Stojanovic, Philip Hachey, Kevin Fournier, Simon Rodier, Yunli Wang, Berry de Bruijn
http://arxiv.org/abs/2004.04596v1
• [cs.CL]Improving Readability for Automatic Speech Recognition Transcription
Junwei Liao, Sefik Emre Eskimez, Liyang Lu, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng
http://arxiv.org/abs/2004.04438v1
• [cs.CL]Injecting Numerical Reasoning Skills into Language Models
Mor Geva, Ankit Gupta, Jonathan Berant
http://arxiv.org/abs/2004.04487v1
• [cs.CL]Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve
Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova
http://arxiv.org/abs/2004.04564v1
• [cs.CL]Measuring Emotions in the COVID-19 Real World Worry Dataset
Bennett Kleinberg, Isabelle van der Vegt, Maximilian Mozes
http://arxiv.org/abs/2004.04225v1
• [cs.CL]MuTual: A Dataset for Multi-Turn Dialogue Reasoning
Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang, Ming Zhou
http://arxiv.org/abs/2004.04494v1
• [cs.CL]On optimal transformer depth for low-resource language translation
Elan van Biljon, Arnu Pretorius, Julia Kreutzer
http://arxiv.org/abs/2004.04418v1
• [cs.CL]PANDORA Talks: Personality and Demographics on Reddit
Matej Gjurković, Mladen Karan, Iva Vukojević, Mihaela Bošnjak, Jan Šnajder
http://arxiv.org/abs/2004.04460v1
• [cs.CL]Pruning and Sparsemax Methods for Hierarchical Attention Networks
João G. Ribeiro, Frederico S. Felisberto, Isabel C. Neto
http://arxiv.org/abs/2004.04343v1
• [cs.CL]Recommendation Chart of Domains for Cross-Domain Sentiment Analysis:Findings of A 20 Domain Study
Akash Sheoran, Diptesh Kanojia, Aditya Joshi, Pushpak Bhattacharyya
http://arxiv.org/abs/2004.04478v1
• [cs.CL]Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem
Danielle Saunders, Bill Byrne
http://arxiv.org/abs/2004.04498v1
• [cs.CL]Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios
Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao
http://arxiv.org/abs/2004.04507v1
• [cs.CL]Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events
Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen McKeown, Yaser Al-Onaizan
http://arxiv.org/abs/2004.04295v1
• [cs.CL]The Spotify Podcasts Dataset
Ann Clifton, Aasish Pappu, Sravana Reddy, Yongze Yu, Jussi Karlgren, Ben Carterette, Rosie Jones
http://arxiv.org/abs/2004.04270v1
• [cs.CL]Translation Artifacts in Cross-lingual Transfer Learning
Mikel Artetxe, Gorka Labaka, Eneko Agirre
http://arxiv.org/abs/2004.04721v1
• [cs.CR]Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters
Una-May O’Reilly, Jamal Toutouh, Marcos Pertierra, Daniel Prado Sanchez, Dennis Garcia, Anthony Erb Luogo, Jonathan Kelly, Erik Hemberg
http://arxiv.org/abs/2004.04647v1
• [cs.CR]Rethinking the Trigger of Backdoor Attack
Yiming Li, Tongqing Zhai, Baoyuan Wu, Yong Jiang, Zhifeng Li, Shutao Xia
http://arxiv.org/abs/2004.04692v1
• [cs.CV]3D Photography using Context-aware Layered Depth Inpainting
Meng-Li Shih, Shih-Yang Su, Johannes Kopf, Jia-Bin Huang
http://arxiv.org/abs/2004.04727v1
• [cs.CV]A Proposed IoT Smart Trap using Computer Vision for Sustainable Pest Control in Coffee Culture
Vitor Alexandre Campos Figueiredo, Samuel Mafra, Joel Rodrigues
http://arxiv.org/abs/2004.04504v1
• [cs.CV]AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching
Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Zhe Wang, Jianping Shi
http://arxiv.org/abs/2004.04627v1
• [cs.CV]CenterMask: single shot instance segmentation with point representation
Yuqing Wang, Zhaoliang Xu, Hao Shen, Baoshan Cheng, Lirong Yang
http://arxiv.org/abs/2004.04446v1
• [cs.CV]DMLO: Deep Matching LiDAR Odometry
Zhichao Li, Naiyan Wang
http://arxiv.org/abs/2004.03796v2
• [cs.CV]Decoupled Gradient Harmonized Detector for Partial Annotation: Application to Signet Ring Cell Detection
Tiancheng Lin, Yuanfan Guo, Canqian Yang, Jiancheng Yang, Yi Xu
http://arxiv.org/abs/2004.04455v1
• [cs.CV]DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution
Marcel Christoph Bühler, Andrés Romero, Radu Timofte
http://arxiv.org/abs/2004.04433v1
• [cs.CV]Estimating Grape Yield on the Vine from Multiple Images
Daniel L. Silver, Jabun Nasa
http://arxiv.org/abs/2004.04278v1
• [cs.CV]Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
Kakeru Mitsuno, Junichi Miyao, Takio Kurita
http://arxiv.org/abs/2004.04394v1
• [cs.CV]Identification of splicing edges in tampered image based on Dichromatic Reflection Model
Zhe Shen, Peng Sun, Yubo Lang, Lei Liu, Silong Peng
http://arxiv.org/abs/2004.04317v1
• [cs.CV]Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz
http://arxiv.org/abs/2004.04725v1
• [cs.CV]Learning to Scale Multilingual Representations for Vision-Language Tasks
Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer
http://arxiv.org/abs/2004.04312v1
• [cs.CV]Leveraging 2D Data to Learn Textured 3D Mesh Generation
Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert
http://arxiv.org/abs/2004.04180v1
• [cs.CV]LightConvPoint: convolution for points
Alexandre Boulch, Gilles Puy, Renaud Marlet
http://arxiv.org/abs/2004.04462v1
• [cs.CV]Masked GANs for Unsupervised Depth and Pose Prediction with Scale Consistency
Chaoqiang Zhao, Gary G. Yen, Qiyu Sun, Chongzhen Zhang, Yang Tang
http://arxiv.org/abs/2004.04345v1
• [cs.CV]MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion
Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison
http://arxiv.org/abs/2004.04336v1
• [cs.CV]Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification
S. Wang, Y. Guan, L. Shao
http://arxiv.org/abs/2004.04491v1
• [cs.CV]Neural Object Descriptors for Multi-View Shape Reconstruction
Edgar Sucar, Kentaro Wada, Andrew Davison
http://arxiv.org/abs/2004.04485v1
• [cs.CV]Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation
Da Li, Timothy Hospedales
http://arxiv.org/abs/2004.04398v1
• [cs.CV]Quasi-Newton Solver for Robust Non-Rigid Registration
Yuxin Yao, Bailin Deng, Weiwei Xu, Juyong Zhang
http://arxiv.org/abs/2004.04322v1
• [cs.CV]Reciprocal Learning Networks for Human Trajectory Prediction
Hao Sun, Zhiqun Zhao, Zhihai He
http://arxiv.org/abs/2004.04340v1
• [cs.CV]Scalable Active Learning for Object Detection
Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clement Farabet, Jose M. Alvarez
http://arxiv.org/abs/2004.04699v1
• [cs.CV]Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty
http://arxiv.org/abs/2004.04400v1
• [cs.CV]Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen
http://arxiv.org/abs/2004.04581v1
• [cs.CV]Sequential Neural Rendering with Transformer
Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkila
http://arxiv.org/abs/2004.04548v1
• [cs.CV]Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation
Lin-Zhuo Chen, Zheng Lin, Ziqin Wang, Yong-Liang Yang, Ming-Ming Cheng
http://arxiv.org/abs/2004.04534v1
• [cs.CV]The GeoLifeCLEF 2020 Dataset
Elijah Cole, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Christophe Botella, Dan Morris, Nebojsa Jojic, Pierre Bonnet, Alexis Joly
http://arxiv.org/abs/2004.04192v1
• [cs.CV]Towards Inheritable Models for Open-Set Domain Adaptation
Jogendra Nath Kundu, Naveen Venkat, Ambareesh Revanur, Rahul M V, R. Venkatesh Babu
http://arxiv.org/abs/2004.04388v1
• [cs.CV]TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images
Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo
http://arxiv.org/abs/2004.04634v1
• [cs.CV]Universal Source-Free Domain Adaptation
Jogendra Nath Kundu, Naveen Venkat, Rahul M V, R. Venkatesh Babu
http://arxiv.org/abs/2004.04393v1
• [cs.CV]Where Does It End? — Reasoning About Hidden Surfaces by Object Intersection Constraints
Michael Strecke, Joerg Stueckler
http://arxiv.org/abs/2004.04630v1
• [cs.CV]X3D: Expanding Architectures for Efficient Video Recognition
Christoph Feichtenhofer
http://arxiv.org/abs/2004.04730v1
• [cs.CY]Governance of the Internet of Things (IoT)
Lawrence J. Trautman, Mohammed T. Hussein, Louis Ngamassi, Mason J. Molesky
http://arxiv.org/abs/2004.03765v1
• [cs.DB]DataFed: Towards Reproducible Research via Federated Data Management
Dale Stansberry, Suhas Somnath, Jessica Breet, Gregory Shutt, Mallikarjun Shankar
http://arxiv.org/abs/2004.03710v1
• [cs.DC]Analysis of LFT2
Geunwoo Lim, Yujin Kwon, Yongdae Kim
http://arxiv.org/abs/2004.04294v1
• [cs.DC]Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective
Jie Xu, Heqiang Wang
http://arxiv.org/abs/2004.04314v1
• [cs.DC]Composing and Decomposing Op-Based CRDTs with Semidirect Products
Matthew Weidner, Heather Miller, Christopher Meiklejohn
http://arxiv.org/abs/2004.04303v1
• [cs.DC]DegreeSketch: Distributed Cardinality Sketches on Massive Graphs with Applications
Benjamin W. Priest
http://arxiv.org/abs/2004.04289v1
• [cs.DC]Efficient Reasoning About Stencil Programs Using Selective Direct Evaluation
Arnab Das, Sriram Krishnamoorthy, Ian Briggs, Ganesh Gopalakrishnan, Ramakrishna Tipireddy
http://arxiv.org/abs/2004.04359v1
• [cs.DC]Hedge Your Bets: Optimizing Long-term Cloud Costs by Mixing VM Purchasing Options
Pradeep Ambati, Noman Bashir, David Irwin, Mohammad Hajiesmaili, Prashant Shenoy
http://arxiv.org/abs/2004.04302v1
• [cs.DC]OV: Validity-based Optimistic Smart Contracts
Quan Nguyen, Andre Cronje, Michael Kong
http://arxiv.org/abs/2004.04338v1
• [cs.DC]Parallel/distributed implementation of cellular training for generative adversarial neural networks
Emiliano Perez, Sergio Nesmachnow, Jamal Toutouh, Erik Hemberg, Una-May O’Reily
http://arxiv.org/abs/2004.04633v1
• [cs.DC]While Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing
Roman Iakymchuk, Daichi Mukunoki, Artur Podobas, Fabienne Jézéquel, Toshiyuki Imamura, Norihisa Fujita, Jens Huthmann, Shuhei Kudo, Yiyu Tan, Jens Domke, Kai Torben Ohlhus, Takeshi Fukaya, Takeo Hoshi, Yuki Murakami, Maho Nakata, Takeshi Ogita, Kentaro Sano, Taisuke Boku
http://arxiv.org/abs/2004.04628v1
• [cs.DS]An Improved Cutting Plane Method for Convex Optimization, Convex-Concave Games and its Applications
Haotian Jiang, Yin Tat Lee, Zhao Song, Sam Chiu-wai Wong
http://arxiv.org/abs/2004.04250v1
• [cs.DS]Exploration with Limited Memory: Streaming Algorithms for Coin Tossing, Noisy Comparisons, and Multi-Armed Bandits
Sepehr Assadi, Chen Wang
http://arxiv.org/abs/2004.04666v1
• [cs.GR]ARCH: Animatable Reconstruction of Clothed Humans
Zeng Huang, Yuanlu Xu, Christoph Lassner, Hao Li, Tony Tung
http://arxiv.org/abs/2004.04572v1
• [cs.IT]Analysis of Vehicular Safety Messaging in Cellular Networks
Chang-sik Choi, Francois Baccelli
http://arxiv.org/abs/2004.04327v1
• [cs.IT]Improving Generalized Spatial Modulation using Translation Patterns
Lakshit Singla, Lakshmi Natarajan
http://arxiv.org/abs/2004.04443v1
• [cs.IT]Mismatched Models to Lower Bound the Capacity of Optical Fiber Channels
Francisco Javier Garcia-Gomez, Gerhard Kramer
http://arxiv.org/abs/2004.04709v1
• [cs.IT]ON-OFF Privacy in the Presence of Correlation
Fangwei Ye, Carolina Naim, Salim El Rouayheb
http://arxiv.org/abs/2004.04186v1
• [cs.IT]Robust Precoder Design for 3D Massive MIMO Downlink with A Posteriori Channel Model
An-An Lu, Xiqi Gao, Chengshan Xiao
http://arxiv.org/abs/2004.04331v1
• [cs.IT]Shared Angles-of-Departure in Massive MIMO Channels: Correlation Analysis and Performance Impact
Xu Du, Ashutosh Sabharwal
http://arxiv.org/abs/2004.04346v1
• [cs.IT]Sparse recovery of noisy data and Grothendieck inequality
Eitan Tadmor, Ming Zhong
http://arxiv.org/abs/2004.04348v1
• [cs.IT]The Secrecy Capacity of Cost-Constrained Wiretap Channels
Sreejith Sreekumar, Alexander Bunin, Ziv Goldfeld, Haim H. Permuter, Shlomo Shamai
http://arxiv.org/abs/2004.04330v1
• [cs.IT]Topological Coded Distributed Computing
Kai Wan, Mingyue Ji, Giuseppe Caire
http://arxiv.org/abs/2004.04421v1
• [cs.LG]A Polynomial Neural Network with Controllable Precision and Human-Readable Topology for Prediction and System Identification
Gang Liu, Jing Wang
http://arxiv.org/abs/2004.03955v2
• [cs.LG]Adaptive Stress Testing without Domain Heuristics using Go-Explore
Mark Koren, Mykel J. Kochenderfer
http://arxiv.org/abs/2004.04292v1
• [cs.LG]Adversarial Latent Autoencoders
Stanislav Pidhorskyi, Donald Adjeroh, Gianfranco Doretto
http://arxiv.org/abs/2004.04467v1
• [cs.LG]Anomaly Detection with SDAE
Benjamin Smith, Kevin Cant, Gloria Wang
http://arxiv.org/abs/2004.04391v1
• [cs.LG]Automated Content Grading Using Machine Learning
Rahul Kr Chauhan, Ravinder Saharan, Siddhartha Singh, Priti Sharma
http://arxiv.org/abs/2004.04300v1
• [cs.LG]Data Dieting in GAN Training
Jamal Toutouh, Una-May O’Reilly, Erik Hemberg
http://arxiv.org/abs/2004.04642v1
• [cs.LG]Deep Learning and Open Set Malware Classification: A Survey
Jingyun Jia
http://arxiv.org/abs/2004.04272v1
• [cs.LG]Deep Reinforcement Learning (DRL): Another Perspective for Unsupervised Wireless Localization
You Li, Xin Hu, Yuan Zhuang, Zhouzheng Gao, Peng Zhang, Naser El-Sheimy
http://arxiv.org/abs/2004.04618v1
• [cs.LG]Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Apporach
Chee-Ming Ting, S. Balqis Samdin, Meini Tang, Hernando Ombao
http://arxiv.org/abs/2004.04362v1
• [cs.LG]Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training
Simon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek
http://arxiv.org/abs/2004.04729v1
• [cs.LG]Evolving Normalization-Activation Layers
Hanxiao Liu, Andrew Brock, Karen Simonyan, Quoc V. Le
http://arxiv.org/abs/2004.02967v2
• [cs.LG]Federated Multi-view Matrix Factorization for Personalized Recommendations
Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-Ud-Din
http://arxiv.org/abs/2004.04256v1
• [cs.LG]Feedback Recurrent Autoencoder for Video Compression
Adam Golinski, Reza Pourreza, Yang Yang, Guillaume Sautiere, Taco S Cohen
http://arxiv.org/abs/2004.04342v1
• [cs.LG]GeneCAI: Genetic Evolution for Acquiring Compact AI
Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar
http://arxiv.org/abs/2004.04249v1
• [cs.LG]Graph Highway Networks
Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
http://arxiv.org/abs/2004.04635v1
• [cs.LG]Heuristics for Link Prediction in Multiplex Networks
Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant Reddy, Manuela Veloso
http://arxiv.org/abs/2004.04704v1
• [cs.LG]HopGAT: Hop-aware Supervision Graph Attention Networks for Sparsely Labeled Graphs
Chaojie Ji, Ruxin Wang, Rongxiang Zhu, Yunpeng Cai, Hongyan Wu
http://arxiv.org/abs/2004.04333v1
• [cs.LG]Interactions in information spread: quantification and interpretation using stochastic block models
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
http://arxiv.org/abs/2004.04552v1
• [cs.LG]Learnable Subspace Clustering
Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu
http://arxiv.org/abs/2004.04520v1
• [cs.LG]Learning Bayesian Networks that enable full propagation of evidence
Anthony Constantinou
http://arxiv.org/abs/2004.04571v1
• [cs.LG]On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems
Ivan Y. Tyukin, Desmond J. Higham, Alexander N. Gorban
http://arxiv.org/abs/2004.04479v1
• [cs.LG]On Anomaly Interpretation via Shapley Values
Naoya Takeishi, Yoshinobu Kawahara
http://arxiv.org/abs/2004.04464v1
• [cs.LG]Orthogonal Over-Parameterized Training
Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song
http://arxiv.org/abs/2004.04690v1
• [cs.LG]Prune2Edge: A Multi-Phase Pruning Pipelines to Deep Ensemble Learning in IIoT
Besher Alhalabi, Mohamed Gaber, Shadi Basurra
http://arxiv.org/abs/2004.04710v1
• [cs.LG]Query-Focused EHR Summarization to Aid Imaging Diagnosis
Denis Jered McInerney, Borna Dabiri, Anne-Sophie Touret, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace
http://arxiv.org/abs/2004.04645v1
• [cs.LG]Recognizing Spatial Configurations of Objects with Graph Neural Networks
Laetitia Teodorescu, Katja Hofmann, Pierre-Yves Oudeyer
http://arxiv.org/abs/2004.04546v1
• [cs.LG]Saliency-based Weighted Multi-label Linear Discriminant Analysis
Lei Xu, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
http://arxiv.org/abs/2004.04221v1
• [cs.LG]Score-Guided Generative Adversarial Networks
Minhyeok Lee, Junhee Seok
http://arxiv.org/abs/2004.04396v1
• [cs.LG]Spectral Discovery of Jointly Smooth Features for Multimodal Data
Or Yair, Felix Dietrich, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis
http://arxiv.org/abs/2004.04386v1
• [cs.LG]Structure-preserving neural networks
Quercus Hernandez, Alberto Badias, David Gonzalez, Francisco Chinesta, Elias Cueto
http://arxiv.org/abs/2004.04653v1
• [cs.LG]TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems
Ka-Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
http://arxiv.org/abs/2004.04320v1
• [cs.LG]k-Nearest Neighbour Classifiers — 2nd Edition
Padraig Cunningham, Sarah Jane Delany
http://arxiv.org/abs/2004.04523v1
• [cs.MS]Automatic Differentiation in ROOT
Vassil Vassilev, Aleksandr Efremov, Oksana Shadura
http://arxiv.org/abs/2004.04435v1
• [cs.NE]Analysis of the Performance of Algorithm Configurators for Search Heuristics with Global Mutation Operators
George T. Hall, Pietro Simone Oliveto, Dirk Sudholt
http://arxiv.org/abs/2004.04519v1
• [cs.NE]Populations of Spiking Neurons for Reservoir Computing: Closed Loop Control of a Compliant Quadruped
Alexander Vandesompele, Gabriel Urbain, Francis wyffels, Joni Dambre
http://arxiv.org/abs/2004.04560v1
• [cs.NI]Knowledge Distillation for Mobile Edge Computation Offloading
Haowei Chen, Liekang Zeng, Shuai Yu, Xu Chen
http://arxiv.org/abs/2004.04366v1
• [cs.NI]Real-time QoS Routing Scheme in SDN-based Robotic Cyber-Physical Systems
Rutvij H. Jhaveri, Rui Tan, Sagar V. Ramani
http://arxiv.org/abs/2004.04466v1
• [cs.PL]Parameterized Reasoning for Distributed Systems with Consensus
Nouraldin Jaber, Christopher Wagner, Swen Jacobs, Milind Kulkarni, Roopsha Samanta
http://arxiv.org/abs/2004.04613v1
• [cs.RO]Care Robots with Sexual Assistance Functions
Oliver Bendel
http://arxiv.org/abs/2004.04428v1
• [cs.RO]Co-Robots as Care Robots
Oliver Bendel
http://arxiv.org/abs/2004.04374v1
• [cs.RO]Control and Trajectory Optimization for Soft Aerial Manipulation
Joshua Fishman, Luca Carlone
http://arxiv.org/abs/2004.04238v1
• [cs.RO]Determination of spatial configuration of an underwater swarm with minimum data
R. dell’Erba
http://arxiv.org/abs/2004.04220v1
• [cs.RO]Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images
Travis Manderson, Stefan Wapnick, David Meger, Gregory Dudek
http://arxiv.org/abs/2004.04697v1
• [cs.RO]State-Only Imitation Learning for Dexterous Manipulation
Ilija Radosavovic, Xiaolong Wang, Lerrel Pinto, Jitendra Malik
http://arxiv.org/abs/2004.04650v1
• [cs.RO]The Adaptive Stress Testing Formulation
Mark Koren, Anthony Corso, Mykel J. Kochenderfer
http://arxiv.org/abs/2004.04293v1
• [cs.SD]GGA-MG: Generative Genetic Algorithm for Music Generation
Majid Farzaneh, Rahil Mahdian Toroghi
http://arxiv.org/abs/2004.04687v1
• [cs.SI]CovidSens: A Vision on Reliable Social Sensing based Risk Alerting Systems for COVID-19 Spread
Md Tahmid Rashid, Dong Wang
http://arxiv.org/abs/2004.04565v1
• [cs.SI]Inference in the Stochastic Block Model with a Markovian assignment of the communities
Quentin Duchemin
http://arxiv.org/abs/2004.04402v1
• [cs.SI]Information Seeking Responses to News of Local COVID-19 Cases: Evidence from Internet Search Data
Ana I. Bento, Thuy Nguyen, Coady Wing, Felipe Lozano-Rojas, Yong-Yeol Ahn, Kosali Simon
http://arxiv.org/abs/2004.04591v1
• [cs.SI]Large Arabic Twitter Dataset on COVID-19
Sarah Alqurashi, Ahmad Alhindi, Eisa Alanazi
http://arxiv.org/abs/2004.04315v1
• [cs.SI]Violent music vs violence and music: Drill rap and violent crime in London
Bennett Kleinberg, Paul McFarlane
http://arxiv.org/abs/2004.04598v1
• [eess.AS]Fast frequency discrimination and phoneme recognition using a biomimetic membrane coupled to a neural network
Woo Seok Lee, Hyunjae Kim, Andrew N. Cleland, Kang-Hun Ahn
http://arxiv.org/abs/2004.04459v1
• [eess.IV]A single image deep learning approach to restoration of corrupted remote sensing products
Anna Petrovskaia, Raghavendra B. Jana, Ivan V. Oseledets
http://arxiv.org/abs/2004.04209v1
• [eess.IV]Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model
Mizuho Nishio, Sho Koyasu, Shunjiro Noguchi, Takao Kiguchi, Kanako Nakatsu, Thai Akasaka, Hiroki Yamada, Kyo Itoh
http://arxiv.org/abs/2004.04432v1
• [eess.IV]Cortical surface registration using unsupervised learning
Jieyu Cheng, Adrian Dalca, Bruce Fischl, Lilla Zollei
http://arxiv.org/abs/2004.04617v1
• [eess.IV]DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images
Md. Rezaul Karim, Till Döhmen, Dietrich Rebholz-Schuhmann, Stefan Decker, Michael Cochez, Oya Beyan
http://arxiv.org/abs/2004.04582v1
• [eess.IV]Physics-enhanced machine learning for virtual fluorescence microscopy
Colin L. Cooke, Fanjie Kong, Amey Chaware, Kevin C. Zhou, Kanghyun Kim, Rong Xu, D. Michael Ando, Samuel J. Yang, Pavan Chandra Konda, Roarke Horstmeyer
http://arxiv.org/abs/2004.04306v1
• [eess.IV]Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation
Neerav Karani, Krishna Chaitanya, Ender Konukoglu
http://arxiv.org/abs/2004.04668v1
• [eess.IV]Variable Rate Video Compression using a Hybrid Recurrent Convolutional Learning Framework
Aishwarya Jadhav
http://arxiv.org/abs/2004.04244v1
• [eess.SP]A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications
Onur Avci, Osama Abdeljaber, Serkan Kiranyaz, Mohammed Hussein, Moncef Gabbouj, Daniel J. Inman
http://arxiv.org/abs/2004.04373v1
• [eess.SY]Control of Unknown Nonlinear Systems with Linear Time-Varying MPC
Dimitris Papadimitriou, Ugo Rosolia, Francesco Borrelli
http://arxiv.org/abs/2004.03041v2
• [eess.SY]Formal Test Synthesis for Safety-Critical Autonomous Systems based on Control Barrier Functions
Prithvi Akella, Mohamadreza Ahmadi, Richard M. Murray, Aaron D. Ames
http://arxiv.org/abs/2004.04227v1
• [math.AP]nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications
Guofei Pang, Marta D’Elia, Michael Parks, George E. Karniadakis
http://arxiv.org/abs/2004.04276v1
• [math.CO]On recursively defined combinatorial classes and labelled trees
Ali Chouria, Vlad-Florin Drǎgoi, Jean-Gabriel Luque
http://arxiv.org/abs/2004.04203v1
• [math.DS]Circum- and Inconic Invariants of 3-Periodics in the Elliptic Billiard
Dan Reznik, Ronaldo Garcia
http://arxiv.org/abs/2004.02680v3
• [math.NA]On the asymptotical regularization for linear inverse problems in presence of white noise
Shuai Lu, Pingping Niu, Frank Werner
http://arxiv.org/abs/2004.04451v1
• [math.NA]Well conditioned ptychograpic imaging via lost subspace completion
Anton Forstner, Felix Krahmer, Oleh Melnyk, Nada Sissouno
http://arxiv.org/abs/2004.04458v1
• [math.OC]A Private and Finite-Time Algorithm for Solving a Distributed System of Linear Equations
Shripad Gade, Ji Liu, Nitin H. Vaidya
http://arxiv.org/abs/2004.04680v1
• [math.OC]A fast and effective MIP-based heuristic for a selective and periodic inventory routing problem in reverse logistics
Leopoldo E. Cárdenas-Barrón, Rafael A. Melo
http://arxiv.org/abs/2004.04188v1
• [math.OC]Continuous and Discrete-Time Analysis of Stochastic Gradient Descent for Convex and Non-Convex Functions
Xavier Fontaine, Valentin De Bortoli, Alain Durmus
http://arxiv.org/abs/2004.04193v1
• [math.OC]Mirror Descent Algorithms for Minimizing Interacting Free Energy
Lexing Ying
http://arxiv.org/abs/2004.04555v1
• [math.ST]Asymptotic normality of robust risk minimizers
Stanislav Minsker
http://arxiv.org/abs/2004.02328v2
• [math.ST]Incidence weighting estimation under bipartite incidence graph sampling
Martina Patone, Li-Chun Zhang
http://arxiv.org/abs/2004.04257v1
• [math.ST]Nonparametric Bayesian inference of discretely observed diffusions
Jean-Charles Croix, Masoumeh Dashti, Istvàn Zoltàn Kiss
http://arxiv.org/abs/2004.04636v1
• [math.ST]Objective Bayesian analysis for spatial Student-t regression models
Jose A. Ordoñez, Marcos O. Prates, Larissa A. Matos, Victor H. Lachos
http://arxiv.org/abs/2004.04341v1
• [math.ST]On Weighted Generalized Entropy for Double Truncated Distribution
Shivangi Singh, Chanchal Kundu
http://arxiv.org/abs/2004.04267v1
• [physics.optics]Adaptive optics with reflected light and deep neural networks
Ivan Vishniakou, Johannes D. Seelig
http://arxiv.org/abs/2004.04603v1
• [physics.soc-ph]Extremist ideology as a complex contagion: the spread of far-right radicalization in the United States between 2005-2017
Mason Youngblood
http://arxiv.org/abs/2004.04265v1
• [physics.soc-ph]Mapping county-level mobility pattern changes in the United States in response to COVID-19
Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse
http://arxiv.org/abs/2004.04544v1
• [physics.soc-ph]Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network
Baichuan Mo, Kairui Feng, Yu Shen, Clarence Tam, Daqing Li, Yafeng Yin, Jinhua Zhao
http://arxiv.org/abs/2004.04602v1
• [q-bio.NC]MetaSleepLearner: Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning
Nannapas Banluesombatkul, Pichayoot Ouppaphan, Pitshaporn Leelaarporn, Payongkit Lakhan, Busarakum Chaitusaney, Nattapong Jaimchariyatam, Ekapol Chuangsuwanich, Nat Dilokthanakul, Theerawit Wilaiprasitporn
http://arxiv.org/abs/2004.04157v1
• [q-bio.PE]Scenario analysis of non-pharmaceutical interventions on global COVID-19 transmissions
Xiaohui Chen, Ziyi Qiu
http://arxiv.org/abs/2004.04529v1
• [quant-ph]Predicting human-generated bitstreams using classical and quantum models
Alex Bocharov, Michael Freedman, Eshan Kemp, Martin Roetteler, Krysta M. Svore
http://arxiv.org/abs/2004.04671v1
• [stat.AP]Confidence interval for the AUC of SROC curve and some related methods using bootstrap for meta-analysis of diagnostic accuracy studies
Hisashi Noma, Yuki Matsushima
http://arxiv.org/abs/2004.04339v1
• [stat.AP]Estimating Fiber Orientation Distribution through Blockwise Adaptive Thresholding with Application to HCP Young Adults Data
Seungyong Hwang, Thomas C. M. Lee, Debashis Paul, Jie Peng
http://arxiv.org/abs/2004.04258v1
• [stat.AP]Estimating Scale Discrepancy in Bayesian Model Calibration for ChemCam on the Mars Curiosity Rover
K. Sham Bhat, Kary Myers, Earl Lawrence, James Colgan, Elizabeth Judge
http://arxiv.org/abs/2004.04301v1
• [stat.AP]Robust inference for nonlinear regression models from the Tsallis score: application to Covid-19 contagion in Italy
Paolo Girardi, Luca Greco, Valentina Mameli, Monica Musio, Walter Racugno, Erlis Ruli, Laura Ventura
http://arxiv.org/abs/2004.03187v2
• [stat.CO]Posterior computation with the Gibbs zig-zag sampler
Matthias Sachs, Deborshee Sen, Jianfeng Lu, David Dunson
http://arxiv.org/abs/2004.04254v1
• [stat.CO]Stochastic spectral embedding
S. Marelli, P. -R. Wagner, C. Lataniotis, B. Sudret
http://arxiv.org/abs/2004.04480v1
• [stat.ME]A Mathematical Assessment of the Isolation Tree Method for Data Anomaly Detection
Fernando A. Morales, Jorge M. Ramírez, Edgar A. Ramos
http://arxiv.org/abs/2004.04512v1
• [stat.ME]Adaptive MCMC for synthetic likelihoods and correlated synthetic likelihoods
Umberto Picchini, Umberto Simola, Jukka Corander
http://arxiv.org/abs/2004.04558v1
• [stat.ME]DAG With Omitted Objects Displayed (DAGWOOD): A framework for revealing causal assumptions in DAGs
Noah A Haber, Mollie E Wood, Sarah Wieten, Alexander Breskin
http://arxiv.org/abs/2004.04251v1
• [stat.ME]Estimating Knots and Their Association in Parallel Bilinear Spline Growth Curve Models in the Framework of Individual Measurement Occasions
Jin Liu
http://arxiv.org/abs/2004.04154v1
• [stat.ME]Pivotal tests for relevant differences in the second order dynamics of functional time series
Anne van Delft, Holger Dette
http://arxiv.org/abs/2004.04724v1
• [stat.ML]Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks
Matthew F Dixon
http://arxiv.org/abs/2004.04717v1
• [stat.ML]Multiclass Classification via Class-Weighted Nearest Neighbors
Justin Khim, Ziyu Xu, Shashank Singh
http://arxiv.org/abs/2004.04715v1
• [stat.ML]On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration
Wenlong Mou, Chris Junchi Li, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan
http://arxiv.org/abs/2004.04719v1
• [stat.ML]TensorProjection Layer: A Tensor-Based Dimensionality Reduction Method in CNN
Toshinari Morimoto, Su-Yun Huang
http://arxiv.org/abs/2004.04454v1